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Historical Handwritten Text Images Word Spotting Through Sliding Window HOG Features

  • Federico BolelliEmail author
  • Guido Borghi
  • Costantino Grana
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10484)

Abstract

In this paper we present an innovative technique to semi-automatically index handwritten word images. The proposed method is based on HOG descriptors and exploits Dynamic Time Warping technique to compare feature vectors elaborated from single handwritten words. Our strategy is applied to a new challenging dataset extracted from Italian civil registries of the XIX century. Experimental results, compared with some previously developed word spotting strategies, confirmed that our method outperforms competitors.

Keywords

Word spotting Handwriting recognition Indexing 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Federico Bolelli
    • 1
    Email author
  • Guido Borghi
    • 1
  • Costantino Grana
    • 1
  1. 1.Dipartimento di Ingegneria “Enzo Ferrari”Università degli Studi di Modena e Reggio EmiliaModenaItaly

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